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Record W2510364189 · doi:10.21432/t26c92

Le Net participatif, levier d’acquisition des littératies traditionnelles et des littératies numériques | The Use of the Participative Web as a Lever for the Acquisition of Literacy and Digital Literacies

2016· article· fr· W2510364189 on OpenAlexvenueno aff
Edna Castello

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2016
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Cet article présente les résultats d’une recherche de terrain, réalisée en mars 2014, au cours de laquelle des étudiants en 4e et 5e année d’alphabétisation des Cours Municipaux d’Adultes de la Ville de Paris ont publié, sous conduite pédagogique, des messages sur des forums de discussion et des commentaires d’articles d’un journal en ligne. L’objectif de nos recherches est de trouver les modalités d’une exploitation efficace des fonctionnalités du Net participatif afin que ce média puisse répondre aux besoins des apprenants, notamment en termes de littératie et de littératie numérique.In this paper, we will review the results of a field experiment carried out in March 2014 at the Cours Municipaux d’Adultes de la Ville de Paris (adult training provider of the City of Paris) with students in literacy years 4 and 5. The students were asked to post messages on discussion forums and in the commentary section of an online newspaper under pedagogical supervision. The aim of our study was to find the best strategies for the effective use of the participative web functionalities in order to answer the needs of learners, in terms of literacy and digital literacies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.141
GPT teacher head0.297
Teacher spread0.156 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Learning and TechnologySame topicCultural Insights and Digital ImpactsFrench-language works237,207